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Data Scientist, NLP & Trading Strategies (Quantitative)

1 month, 2 weeks ago
Australia, New Zealand, Taiwan, Hong Kong
Full-time
Junior
Data Scientist
Data Science and Analytics
Blockchain Machine Learning NLP NLTK Python PyTorch R Scikit-learn spaCy Statistics TensorFlow Transformers
Apply Now
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised
View All Jobs 295

Description

  • Research and develop quantitative trading strategies using natural-language understanding methods applied to financial news, social media, and other text sources.
  • Design and build machine-learning models to uncover predictive trading signals.
  • Perform exploratory data analysis on large, complex datasets.
  • Apply probability, statistics, linear algebra, and time-series analysis to refine trading models.
  • Rigorously backtest strategies against historical data.
  • Iteratively optimize models to improve performance and reduce risk.
  • Collaborate with data science and trading teams to improve model performance and support data-informed investment decisions.

Requirements

  • At least 2 years of relevant experience in data science, machine learning, or natural language processing.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Financial Engineering, or a related discipline.
  • Strong mathematical foundation in probability, statistics, linear algebra, and time-series analysis.
  • Familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Solid understanding of NLU techniques, including sentiment analysis, intent recognition, and named-entity recognition.
  • Proficiency in Python or R.
  • Hands-on experience with NLP libraries such as SpaCy, NLTK, or Transformers.
  • Interest in exploring undefined problem spaces in the fast-changing crypto world.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on the nature of the business team.
  • Opportunity to collaborate with world-class talent in a global organization with a flat structure.
  • Autonomy to work on unique, fast-paced projects in an innovative environment.
  • Career growth opportunities and continuous learning.

Interested in this position?

Apply directly on the company website

Apply Now

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